Triple
T36253228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Tour (2014–2017) |
E891856
|
entity |
| Predicate | coHeadlinerRole |
P184814
|
FINISHED |
| Object | guest vocals by Trisha Yearwood |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: guest vocals by Trisha Yearwood | Statement: [World Tour (2014–2017), coHeadlinerRole, guest vocals by Trisha Yearwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coHeadlinerRole Context triple: [World Tour (2014–2017), coHeadlinerRole, guest vocals by Trisha Yearwood]
-
A.
headlinedBy
Indicates that something (such as an event, show, or publication) is led, featured, or given top billing by a particular main performer, act, or entity.
-
B.
lineupRole
Indicates the specific role or position an entity holds within a lineup or ordered group.
-
C.
coverRole
Indicates that one entity temporarily assumes or fills the role, duties, or position normally held by another entity.
-
D.
chairHolderRole
Indicates that an entity holds the position or role of chair (e.g., chairperson) within a specified organization, committee, or group.
-
E.
coHeadWriterOf
Indicates that two or more individuals share the role and responsibilities of head writer for the same work, project, or production.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5fbbf548190bba73f385cc5afd4 |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b57aa0848190a22c31c3ff90e0ab |
completed | May 3, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:09 p.m.